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Entry Level Insurance Data Analytics Jobs in California

Bachelor's degree in Data Analytics, Data Science, Statistics, Computer Science, Engineering ... Life and AD&D Insurance * Short-Term and Long-Term Disability * 401(k) with Company Match * Paid ...

... analytics to real-world projects across our teams. What the role will do: • Assist with ... Life and AD&D Insurance * Short-Term and Long-Term Disability * 401(k) with Company Match * Paid ...

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python ... We want Data Science/Machine learning/Data Analyst and Java Full stack candidates REQUIRED SKILLS ...

Data Analyst I

Signal Hill, CA · On-site +1

$114K - $140K/yr

Internship or project experience in insurance analytics, risk modeling, or predictive modeling. * Understanding of regulatory reporting and industry data sources (e.g., NCCI, ISO). QUALIFICATIONS ...

Internship or project experience in insurance analytics, risk modeling, or predictive modeling. * Understanding of regulatory reporting and industry data sources (e.g., NCCI, ISO). QUALIFICATIONS ...

Experience with collecting, researching and analyzing engineering data including data entry ... health insurance, flexible spending accounts, health savings accounts, retirement savings plans ...

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Entry Level Insurance Data Analytics information

What are some common challenges faced by entry-level professionals in insurance data analytics, and how can they be addressed?

Entry-level professionals in insurance data analytics often encounter challenges such as working with large, complex datasets, understanding industry-specific terminology, and aligning analytical findings with business objectives. To overcome these, it's important to develop strong data management and visualization skills, seek mentorship from experienced colleagues, and regularly communicate with underwriters, actuaries, and business teams to understand the context behind the numbers. Proactively participating in team meetings and taking advantage of on-the-job training can also help bridge knowledge gaps and foster professional growth.

What are the key skills and qualifications needed to thrive as an Entry Level Insurance Data Analytics professional, and why are they important?

To thrive as an Entry Level Insurance Data Analytics professional, you need foundational skills in statistics, data analysis, and proficiency with Excel or similar tools, often supported by a degree in mathematics, statistics, or a related field. Familiarity with data analytics software such as SQL, Python, R, and insurance industry databases is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills set candidates apart in this role. These competencies are crucial for accurately interpreting insurance data, supporting business decisions, and conveying insights to both technical and non-technical stakeholders.

What is the difference between Entry Level Insurance Data Analytics vs Insurance Data Analyst?

AspectEntry Level Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; basic knowledge of analytics toolsBachelor's or higher in data analysis, statistics, or related; some roles prefer certifications
Work EnvironmentEntry-level roles in insurance companies, focusing on data collection and basic analysisMore experienced roles involving complex data modeling and reporting
Employer & Industry UsageInsurance companies, brokers, and agenciesInsurance firms, consulting agencies, and risk management companies

Entry Level Insurance Data Analytics positions focus on foundational data tasks within insurance firms, often requiring less experience and offering training opportunities. Insurance Data Analysts typically have more experience, handling advanced analysis and reporting. Both roles are essential in the insurance industry but differ mainly in complexity and responsibility.

What are entry level insurance data analytics jobs?

Entry level insurance data analytics jobs involve collecting, processing, and analyzing data to help insurance companies make better business decisions. Professionals in these roles typically use statistical tools and software to identify trends, assess risks, and support pricing or policy development. They may also prepare reports and visualizations to communicate findings to other teams. These positions are ideal for recent graduates with strong analytical skills who have an interest in the insurance industry.
What are the most commonly searched types of Insurance Data Analytics jobs in California? The most popular types of Insurance Data Analytics jobs in California are:
What are popular job titles related to Entry Level Insurance Data Analytics jobs in California? For Entry Level Insurance Data Analytics jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level Insurance Data Analytics jobs in California look for? The top searched job categories for Entry Level Insurance Data Analytics jobs in California are:
Infographic showing various Entry Level Insurance Data Analytics job openings in California as of June 2026, with employment types broken down into 31% Full Time, 54% Part Time, 1% Temporary, and 14% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Data Analyst I

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Job description

Welcome to Verdantas, where innovation meets sustainability, and your career finds purpose!

At Verdantas, we're redefining environmental consulting and sustainable engineering through our use of cutting-edge modeling and digital technology and our genuine commitment to people. Our work spans high-growth sectors like water resources, resilient land use, energy transformation, and civil infrastructure.

Our commitment to excellence, across more than 90 offices, is championed by a team of over 2,000 experts, scientists, engineers, geologists, and technical specialists, embedded in a people-focused culture, prioritizing the well-being of our employees, clients, and the communities we serve. We partner with clients to deliver smart, data-driven solutions to complex environmental and infrastructure challenges. We don't just solve problems; we help shape a more sustainable future.

Join a people-first culture that values your well-being, empowers your growth, and amplifies your impact. At Verdantas, your career goes beyond the expected, and your work helps build a better world.

Ready to shape the future of resilient communities?

Verdantas is seeking a Data Analyst I who is eager to support stormwater invoicing and apply data analytics to real-world projects across our teams.

What the role will do:
Assist with collecting, cleaning, and organizing data from multiple internal and external sources
Support the development of dashboards, reports, and visualizations to communicate key insights
Analyze datasets to identify trends, patterns, and opportunities for improvement
Collaborate with cross-functional teams to understand data needs and business objectives
Help document data processes and ensure data accuracy and consistency
Gain exposure to real-world analytics applications in consulting, operations, and project delivery

What we're looking for:
Bachelor's degree in Data Analytics, Data Science, Statistics, Computer Science, Engineering, Business Analytics, or a related field
Strong analytical and problem-solving skills with attention to detail
Familiarity with Excel and/or data visualization tools (Power BI, Tableau, or similar)
Exposure to SQL, Python, R, or similar tools is a plus
Ability to clearly communicate findings and work collaboratively
Curiosity, initiative, and eagerness to learn in a fast-paced environment

Salary Range:

65,000.00 - 68,000.00

Benefits:

  • Flexible Work Environment
  • Paid Parental Leave
  • Medical
  • Dental
  • Vision
  • Life and AD&D Insurance
  • Short-Term and Long-Term Disability
  • 401(k) with Company Match
  • Paid Time Off + Holidays

Verdantas strives to develop new ways to increase diversity awareness within our organization. We recruit and reward our employees based on capability and performance - regardless of race, gender, sexual orientation, gender identity or expression, lifestyle, age, educational background, national origin, religion, or physical ability. For us, it is imperative to build balanced teams from all walks of life and we believe that a diverse workforce is a stronger workforce.

Verdantas is an EOE race/color/religion/sex/sexual orientation/gender identity/national origin/disability/vet